Home ›
Entities
› academia
› Fragment‐based deep molecular generation using hierarchical chemical graph representation and multi‐resolution graph variational autoencoder
Fragment‐based deep molecular generation using hierarchical chemical graph representation and multi‐resolution graph variational autoencoder
Research article (Molecular Informatics, 2023) · cited 12× · AI/ML
Fragment‐based deep molecular generation using hierarchical chemical graph representation and multi‐resolution graph variational autoencoder
Summary
Fragment‐based deep molecular generation using hierarchical chemical graph representation and multi‐resolution graph variational autoencoder is a scholarly article[1].
Key Facts
Fragment‐based deep molecular generation using hierarchical chemical graph representation and multi‐resolution graph variational autoencoder's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Fragment‐based deep molecular generation using hierarchical chemical graph representation and multi‐resolution graph variational autoencoder. Retrieved May 24, 2026, from https://4ort.xyz/entity/fragmentbased-deep-molecular-generation-using-hierarchical-chemical-graph-representation-and-multiresolution-graph-varia
MLA“Fragment‐based deep molecular generation using hierarchical chemical graph representation and multi‐resolution graph variational autoencoder.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fragmentbased-deep-molecular-generation-using-hierarchical-chemical-graph-representation-and-multiresolution-graph-varia.
BibTeX@misc{4ortxyz_fragmentbased-deep-molecular-generation-using-hierarchical-chemical-graph-representation-and-multiresolution-graph-varia_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fragment‐based deep molecular generation using hierarchical chemical graph representation and multi‐resolution graph variational autoencoder}}, year = {2026}, url = {https://4ort.xyz/entity/fragmentbased-deep-molecular-generation-using-hierarchical-chemical-graph-representation-and-multiresolution-graph-varia}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fragment‐based deep molecular generation using hierarchical chemical graph representation and multi‐resolution graph variational autoencoder — https://4ort.xyz/entity/fragmentbased-deep-molecular-generation-using-hierarchical-chemical-graph-representation-and-multiresolution-graph-varia (retrieved 2026-05-24)
